The company is replacing hard-to-find high bandwidth memory (HBM) with LPDDR5X in its latest Versal processor.
The type of memory a designer selects for an embedded project drives overall system operation and performance, so obviously this is a very important decision. Whether the system runs on batteries or ...
FOUNTAIN VALLEY, Calif., June 08, 2026--(BUSINESS WIRE)--Kingston Technology Company, Inc., a world leader in memory and storage solutions, continues to advance its "Built on Commitment" philosophy as ...
MRAM (Magnetoresistive Random Access Memory) is a next-generation memory technology that combines non-volatility with high-speed read and write performance—two characteristics that have traditionally ...
The lightweight allocator demonstrates 53% faster execution times and requires 23% lower memory usage, while needing only 530 lines of code. Embedded systems such as Internet of Things (IoT) devices ...
Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.
We’ve explored each element in detail except for secure storage in the previous posts. Today’s post will dive deeper into secure storage and how it applies to embedded systems. Secure storage is often ...
Next-generation automotive systems are advancing beyond the limits of currently available technologies. The addition of advanced driver assistance systems (ADAS) and other advanced features requires ...
TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced that it has started sampling [1] new Automotive Universal Flash Storage [2] (UFS) Ver. 3.1 embedded ...
Memory safety issues are one of the leading causes of security vulnerabilities in computing systems, including embedded systems. In programming languages like C/C++, developers are expected to manage ...
Artificial intelligence is moving beyond chatbots and data analytics into the physical world. A new generation of systems, often referred to as ‘physical AI,’ combines AI-driven decision making with ...
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